In a companion paper (Bastian et al. 2007, this issue) we introduced an abstract definition of a parallel and adaptive hierarchical grid for scientific computing. Based on this definition we derive an efficient interface specification as a set of C++ classes. This interface separates the applications from the grid data structures. Thus, user implementations become independent of the underlying grid implementation. Modern C++ template techniques are used to provide an interface implementation without big performance losses. The implementation is realized as part of the software environment DUNE ( http://dune-project.org/ ). Numerical tests demonstrate the flexibility and the efficiency of our approach. © 2008 Springer-Verlag.
CITATION STYLE
Bastian, P., Blatt, M., Dedner, A., Engwer, C., Klöfkorn, R., Kornhuber, R., … Sander, O. (2008). A generic grid interface for parallel and adaptive scientific computing. Part II: Implementation and tests in DUNE. Computing (Vienna/New York), 82(2–3), 121–138. https://doi.org/10.1007/s00607-008-0004-9
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